{"id":1681066,"url":"https://alion.io/job/wsp-team-leader-data-analytics","title":"Team Leader - Data Analytics","company":{"id":1668012,"name":"WSP","domain":"wsp.ca","url":"https://alion.io/company/wsp-ca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":64,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":59,"computed_at":"2026-10-04T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":29000,"max_usd":76000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":22},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Microsoft Excel","optional":false},{"name":"Power Apps","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SharePoint","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Scrum","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-09-09T04:45:23Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-04T22:38:47Z","board_verified":true,"closed_at":null,"days_open":25,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":25},"description":"We are seeking a highly capable Team Leader - Data Analytics (P4) to lead and manage the Data Analytics function within the UK&I Transport & Infrastructure PMO GCC.\nThe role is responsible for delivering high-quality, scalable, and data-driven analytics solutions across data engineering, visualisation, reporting, automation, and advanced analytics, enabling effective decision-making across project controls, programme performance, portfolio governance, and strategic leadership reporting.\nThis is a dual leadership role requiring both strong technical expertise and effective people leadership. The successful candidate will lead a team of data analytics professionals, drive reporting standardisation, champion digital innovation, and work closely with Head -T&I PMO, PMO Leads and UK stakeholders to continuously streamline, optimise, and enhance reporting and insights across projects.\n 1. Team Leadership & People Management\nLead, manage, and develop a high-performing team of Data Analytics professionals within the GCC.\nProvide day-to-day leadership across analytics delivery, team priorities, and performance outcomes.\nDrive resource planning, workload allocation, and delivery prioritisation across multiple concurrent projects and PMO initiatives.\nRecruit, onboard, mentor, and retain talent aligned to business growth and capability requirements.\nConduct performance reviews, set development goals, and implement structured upskilling plans for team members.\nFoster a strong “one-team” culture across GCC and UK / onshore stakeholders, promoting collaboration, accountability, and shared success.\nBuild sustainable team capability in reporting, automation, analytics, and digital PMO solutions.\n2. Reporting Standardisation & Scalable Delivery\nDefine and implement a standardised reporting solutions across projects and portfolios which are scalable, efficient, and aligned to PMO governance standards.\nWork in consultation with PMO Leads in GCC and UK stakeholders to align project reporting requirements to the appropriate maturity level.\nStandardise key dashboards, templates, KPIs, and reporting approaches to support consistency across the portfolio.\nDrive adoption of common data models and structured reporting approaches across teams.\n3. Analytics Delivery & Governance\nOversee end-to-end analytics delivery, including: Data ingestion, Data transformation and modelling, Validation and QA/QC, Dashboard development and reporting, Insight generation and stakeholder presentation\nEnsure all outputs meet expected standards for quality, consistency, governance, auditability, and repeatability.\nEstablish and maintain QA/QC frameworks, delivery checklists, KPI libraries, and reporting standards.\nCreate structured operating models for analytics delivery, including templates, SOPs, naming conventions, and version control.\nDrive lessons learned and continuous improvement across analytics delivery processes.\n4. Dashboarding, Visualisation & Reporting\nLead the design and development of Power BI dashboards and interactive reporting solutions to support: Project controls performance\nProgramme and portfolio reporting\nCost and commercial insights\nRisk and issue visibility\nResource utilisation and team performance\nLeadership and business review reporting\n\nEnsure dashboards are intuitive, executive-friendly, and tailored to stakeholder needs.\nSupport standardisation of reporting outputs across tools such as Power BI, Excel, and other approved visualisation platforms.\nImprove visibility and decision-making through automated, real-time, or near real-time reporting where appropriate.\n5. Automation & Power Platform Enablement\nDrive adoption of Power Platform solutions to streamline PMO and project reporting processes, including: Power BI for analytics and visualisation\nPower Automate for workflow and process automation\nPower Apps for digital forms, data capture, and process enablement\n\nIdentify repetitive manual processes and convert them into efficient automated solutions.\nDesign integrated workflows connecting project data, approvals, alerts, and reporting outputs.\nPromote a digital-first approach to reporting, governance, and information management.\nPropose and implement practical automation solutions that improve efficiency, control, and user experience.\n6. Technical Analytics, Data Engineering & Advanced Insights\nBuild and maintain integrated data models across multiple systems and data sources, such as SharePoint, ERP / finance systems, Project controls tools. \nPromote use of advanced Excel, Power Query, DAX, SQL, Python, and modern data engineering practices where appropriate.\nExplore opportunities to apply advanced analytics, AI/ML, GenAI, and automation to improve efficiency and insight generation.\nTranslate complex datasets into clear, actionable, business-relevant insights for PMO, project, and leadership stakeholders.\n7. PMO, Project Controls & Business Integration\nWork closely with PMO Leads, Project Controls teams, Commercial teams, and Delivery stakeholders to align analytics outputs with business and project needs.\nEnsure reporting supports visibility across Cost, Schedule, Risk, Commercial performance, Resource and delivery metrics\nIntegrate analytics outputs with project controls and PMO processes to strengthen governance and decision-making.\nSupport alignment of reporting with project and portfolio performance frameworks.\nEnable joined-up reporting across PMO, controls, commercial, and operational functions.\n8. Stakeholder Engagement & Collaboration\nAct as the primary analytics SPOC for collaboration between GCC and UK stakeholders on reporting and analytics requirements.\nPartner with PMO leadership, Project Directors, Project Managers, and functional leads to understand evolving reporting needs.\nPresent insights through governance forums, showcases, leadership reviews, and stakeholder meetings.\nCollaborate with cross-functional teams including IT, Finance, Risk, Commercial, and Project Controls to deliver integrated solutions.\nBuild trusted relationships and position the GCC analytics team as a value-adding strategic partner.\n9. Strategy, Innovation & Continuous Improvement\nDrive the analytics capability roadmap for the PMO GCC, aligned to business needs and digital strategy.\nContinuously review current ways of working and identify opportunities to streamline, optimise, and improve reporting and analytics delivery.\nStay up to date with the latest developments in analytics, Power Platform, automation, AI, and emerging technology, and translate relevant advancements into practical solutions for projects and PMO teams.\nIntroduce new tools, methods, and innovations to improve reporting maturity and operational efficiency.\nSupport knowledge management and reusable solution development across the analytics function.\nDefine and track service performance metrics, team KPIs, and adoption measures.\n10. Capability Building & Training\nBuild a sustainable and continuously improving analytics capability within GCC.\nDevelop structured training and development plans such as Power Platform, PMO reporting standards and KPI design etc. \nPromote data literacy and dashboard adoption across PMO and project teams.\nEnsure the analytics team remains technically current and aligned to evolving business and technology requirements.\n Essential\nBachelor’s degree in Data Science, Engineering, Computer Science, Analytics, Information Systems, or related discipline.\n8-12 years of experience in Data Analytics / BI / PMO Reporting / Project Controls Analytics / Management Information roles.\nProven team management experience leading and managing Data Analytics professionals, including workload allocation, mentoring, performance management, structured upskilling, and delivery governance.\nStrong hands-on experience in Power Platform, SQL and other reporting and automation solutions. \nHands-on experience with Python for data analysis, automation, or advanced analytics use cases.\nStrong experience designing and delivering reporting solutions in PMO / project controls / infrastructure / engineering environments.\nExperience working in a GCC / offshore / shared services / UK-India delivery model.\nStrong stakeholder management, communication, presentation, and influencing skills.\nDemonstrated ability to translate business requirements into scalable analytics solutions.\nDesirable\nExperience in Transport & Infrastructure sectors, such as Rail, Roads, Civils, Water, or multidisciplinary infrastructure programmes.\nKnowledge of Earned Value Analysis (EVA/EVM), project controls methodologies, and performance management frameworks.\nFamiliarity with Primavera P6, cost/commercial datasets, and project delivery reporting systems.\nExposure to ERP platforms such as SAP, Oracle, or similar enterprise systems.\nExperience with cloud or modern data platforms, such as Azure, AWS, Databricks, ADF, or equivalent.\nExposure to additional BI / analytics tools such as Tableau, Qlik, or similar.\nUnderstanding of AI / ML / GenAI applications for analytics, automation, or reporting use cases.\nRelevant professional certifications such as PMP, PRINCE2, Agile / Scrum, or equivalent.\nTools & Technology\nPower BI - dashboards, DAX, modelling, visualisation\nPower Automate - workflow automation\nPower Apps - digital forms and process enablement\nAdvanced Excel - Power Query, Pivot Tables, advanced analytics support\nSQL - querying and data manipulation\nPython - data analysis, automation, advanced analytics\nSharePoint / ERP / project data systems\nExposure to PMO / project controls tools such as Primavera P6 and related reporting environments\nAwareness of modern digital and cloud analytics ecosystems is advantageous.\nBGV:\nEmployment with WSP India is subject to the successful completion of a background verification (“BGV”) check conducted by a third-party agency appointed by WSP India.\nCandidates are advised to ensure that all information provided during the recruitment process - including documents uploaded - is accurate and complete, both to WSP India and its BGV partner”.","description_format":"text","description_chars":10062,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T09:37:59Z"}],"visa":[],"liveness":{"score":55,"band":"ok","label":"Likely open","p_open":1,"p_active":0.612,"p_room":0.9,"age_days":25,"expected_fill_days":59,"reasons":["conf:1","stale_co","velocity","win:mid","comp:brand"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/wsp-team-leader-data-analytics","json_url":"https://alion.io/job/wsp-team-leader-data-analytics.json","meta":{"generated_at":"2026-10-05T00:30:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":591,"day_limit":5000,"remaining_today":4409,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}